Numerical and Stability Analysis of Hilfer-Type Fuzzy Fractional Control Systems with Infinite Delay

This paper presents a unified theoretical and numerical investigation of Hilfer-type fuzzy fractional control systems with infinite continuous delay. By employing contraction mapping principles and compact semigroup theory, we establish rigorous solvability conditions together with Ulam–Hyers–Rassias stability results expressed in terms of Mittag–Leffler functions. To complement the analytical framework, we design and implement numerical schemes based on Euler and IMEX approaches, which confirm the theoretical predictions through simulations. The computational experiments demonstrate the robustness of the proposed framework under delayed feedback and fractional memory effects, highlighting its relevance to practical domains such as biological regulation, porous media transport, and intelligent traffic systems. The contribution of this study lies in the bridge between mathematical rigor and computational implementation, thus advancing the theory of fractional differential inclusions and providing a versatile tool for the stability analysis and control of complex systems with uncertainty and hereditary dynamics.

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Publication Details

Journal
Fractal and Fractional
Published
2026-04-15
DOI
https://doi.org/10.3390/fractalfract10040262
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical and Stability Analysis of Hilfer-Type Fuzzy Fractional Control Systems with Infinite Delay

Aeshah Al-Dosari
Fractal and Fractional
Fractional Differential Equations Solutions
article

Numerical and Stability Analysis of Hilfer-Type Fuzzy Fractional Control Systems with Infinite Delay

Aeshah Al-Dosari
article en

Abstract

This paper presents a unified theoretical and numerical investigation of Hilfer-type fuzzy fractional control systems with infinite continuous delay. By employing contraction mapping principles and compact semigroup theory, we establish rigorous solvability conditions together with Ulam–Hyers–Rassias stability results expressed in terms of Mittag–Leffler functions. To complement the analytical framework, we design and implement numerical schemes based on Euler and IMEX approaches, which confirm the theoretical predictions through simulations. The computational experiments demonstrate the robustness of the proposed framework under delayed feedback and fractional memory effects, highlighting its relevance to practical domains such as biological regulation, porous media transport, and intelligent traffic systems. The contribution of this study lies in the bridge between mathematical rigor and computational implementation, thus advancing the theory of fractional differential inclusions and providing a versatile tool for the stability analysis and control of complex systems with uncertainty and hereditary dynamics.

Fractal and FractionalVol. 10(4)
Prince Sattam Bin Abdulaziz University (SA)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 19%
Fractional Differential Equations Solutions
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